package gpr

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package gpr
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Library
Module
Module type
Parameter
Class
Class type
module Spec = Spec

Specification of covariance function

module Inducing = Variational_FITC.Inducing

Evaluating inducing inputs

module Input = Variational_FITC.Input

Evaluating single inputs

module Inputs = Variational_FITC.Inputs

Evaluating (multiple) inputs

module Model = Variational_FITC.Model

(Untrained) model - does not require targets

module Trained = Variational_FITC.Trained

Trained model - requires targets

module Stats : sig ... end

Statistics derived from trained models

module Mean_predictor = Variational_FITC.Mean_predictor

Module for making mean predictions

module Mean = Variational_FITC.Mean

Posterior mean for a single input

module Means = Variational_FITC.Means

Posterior means for (multiple) inputs

module Co_variance_predictor = Variational_FITC.Co_variance_predictor

Module for making (co-)variance predictions

module Variance = Variational_FITC.Variance

Posterior variance for a single input

module Variances = Variational_FITC.Variances

Posterior variances for (multiple) inputs

module Covariances : sig ... end

Posterior covariances

module Sampler = Variational_FITC.Sampler

Module for sampling single points from the posterior distribution

module Cov_sampler : sig ... end

Module for sampling (multiple) points from the posterior distribution accounting for their covariance